7 часов назад
Robotics Product Security Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Robotics Product Security Engineer (AI): Designing and implementing security architectures for autonomous robotic platforms with an accent on embedded Linux hardening, threat modeling, and secure communication protocols. Focus on adversarial assessment, vulnerability remediation, and ensuring the resilience of mission-critical systems in real-world field deployments.
Location: On-site in Irvine, CA
Company
builds risk-aware, reliable, and field-ready autonomous robotic systems for complex real-world environments.
What you will do
- Design and improve security architecture for autonomous robotic systems.
- Conduct threat modeling and security reviews across platforms and operational workflows.
- Secure robot identity, authentication, communications, and over-the-air software updates.
- Harden embedded Linux systems and compute environments against physical and remote attacks.
- Perform penetration testing and adversarial analysis on deployed robotic systems.
- Partner with robotics and infrastructure teams to integrate security controls into development workflows.
Requirements
- Bachelor’s degree in Computer Science, Robotics, Cybersecurity, or related field.
- 8+ years of experience in product, systems, or embedded security engineering.
- Strong software and systems engineering fundamentals.
- Experience securing embedded systems, IoT devices, or autonomous platforms.
- Proficiency with Linux systems, networking, and secure systems design.
- Ability to balance security requirements with operational constraints and reliability.
Nice to have
- Experience with robotics middleware such as ROS or DDS.
- Background in cyber-physical systems like drones, industrial automation, or aerospace.
- Experience with vulnerability research and offensive security.
Culture & Benefits
- Work in the heart of Southern California’s robotics ecosystem.
- Direct impact on the safety and trustworthiness of field-deployed autonomous systems.
- Collaborative environment working cross-functionally with robotics and autonomy teams.
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